In replicate analyses, the carbohydrate content of a glycoprotein ( a protein with sugars attached to it) is found to be 12.6, 11.9, 13.0, 12.7, and 12.5 g of carbohydrate per 100 g of protein. (a) Find the mean of the measurements. (b) Find the standard deviation (s). (c) Find the 90% confidence intervals for the carbohydrate content. (d) If the mean and standard deviation are unchanged, but there are 10 measurements (N=10) instead of 5, what would be the confidence interval?
In replicate analyses, the carbohydrate content of a glycoprotein ( a protein with sugars attached to it) is found to be 12.6, 11.9, 13.0, 12.7, and 12.5 g of carbohydrate per 100 g of protein.
(a) Find the
(b) Find the standard deviation (s).
(c) Find the 90% confidence intervals for the carbohydrate content.
(d) If the mean and standard deviation are unchanged, but there are 10 measurements (N=10) instead of 5, what would be the confidence interval?
(e) How does increasing the number of replicate measurements affect the reliability of measurements?
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A. In replicate analyses, the carbohydrate content of a glycoprotein ( a protein with sugars attached to it) is found to be 12.6, 11.9, 13.0, 12.7, and 12.5 g of carbohydrate per 100 g of protein.
(a) Find the
(b) Find the standard deviation (s).
(c) Find the 90% confidence intervals for the carbohydrate content.
(d) If the and s are unchanged, but there are 10 measurements (N=10) instead of 5, what would be the confidence interval?
(e) How does increasing the number of replicate measurements affect the reliability of measurements? Explain your answer. (Hint: better precision gives smaller confidence intervals)
(f) Based on the data given, which of these can be considered an outlier? Prove it (Use Grubb's Test)
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